This paper looks at digital strategy and what it can do to promote a peaceful global local area in the age of computers. Cyberspace holds a key position and particular relevance in international affairs. This subject has gained popularity as most international entertainers have developed their global strategy and implemented various tactics to pursue their primary goals online. For instance, the Ministry of Foreign Affairs' use of social media to promote the country, its policies, and its ideals are clear evidence of this. Unfortunately, not all online activities are calm. China and the US are at odds over cyber security, and two groupings of countries are vying for control of the field internationally. Because of this conflict of interest between the countries, cyber diplomacy is required to arbitrate and prevent open cyber war. Cyber diplomacy is an international practice that results from efforts to create an international cyber community by connecting the national interests of nations with the dynamics of the global community. To fulfill the traditional duties of diplomacy in cyberspace, such as promoting trust and peace among stakeholders, cyber diplomacy is to do so. This paper uses English School diplomacy theory to analyze the potential of cyber diplomacy for peaceful cyberspace use. Digital tact consists of two main components: an effort to prevent internet deterioration and a globally coordinated apparatus for creating common digital standards.
{"title":"Analysis of Cyber Diplomacy and its Challenges for the Digital Era Community","authors":"Y. Maulana, Irfan Fajar","doi":"10.34306/itsdi.v4i2.587","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.587","url":null,"abstract":"This paper looks at digital strategy and what it can do to promote a peaceful global local area in the age of computers. Cyberspace holds a key position and particular relevance in international affairs. This subject has gained popularity as most international entertainers have developed their global strategy and implemented various tactics to pursue their primary goals online. For instance, the Ministry of Foreign Affairs' use of social media to promote the country, its policies, and its ideals are clear evidence of this. Unfortunately, not all online activities are calm. China and the US are at odds over cyber security, and two groupings of countries are vying for control of the field internationally. Because of this conflict of interest between the countries, cyber diplomacy is required to arbitrate and prevent open cyber war. Cyber diplomacy is an international practice that results from efforts to create an international cyber community by connecting the national interests of nations with the dynamics of the global community. To fulfill the traditional duties of diplomacy in cyberspace, such as promoting trust and peace among stakeholders, cyber diplomacy is to do so. This paper uses English School diplomacy theory to analyze the potential of cyber diplomacy for peaceful cyberspace use. Digital tact consists of two main components: an effort to prevent internet deterioration and a globally coordinated apparatus for creating common digital standards.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130806508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The purpose of this research is to analyze the effect of the Human Resource Information System (HRIS) on the performance of the defence industry and the influence of artificial intelligence on the performance of the defence industry during the disruption era. This study uses a quantitative research approach. The samples processed were 160 defence industry employees. The primary data collection technique is done by distributing questionnaires to respondents. The questionnaire uses a Likert scale as a measure of data. Data analysis was carried out through structural equation modelling with SmartPLS 3.0 software. The dependent variable is the employee performance variable, and the independent variable is the HRIS and job satisfaction variables. The results of data analysis in this study and the significance value obtained prove that HRIS is significantly related to employee performance. The more accurate, precise and complete the HRIS application, the higher the employee's performance in completing their work assignments and improving the process of the defence industry in making human resource decisions through systematic HRIS procedures, which include data collection, data storage, data maintenance, data retrieval, and data validation. Its strategic plan influences the progress of the defence industry in utilizing human resources quantitatively, and understanding environmental conditions can provide an overview of the future of the defence industry. Artificial Intelligence (AI) is significantly related to employee performance.
{"title":"The Effect of Human Resource Information Systems (HRIS) and Artificial Intelligence on Defense Industry Performance","authors":"T. Handra, V. Sundram","doi":"10.34306/itsdi.v4i2.584","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.584","url":null,"abstract":"The purpose of this research is to analyze the effect of the Human Resource Information System (HRIS) on the performance of the defence industry and the influence of artificial intelligence on the performance of the defence industry during the disruption era. This study uses a quantitative research approach. The samples processed were 160 defence industry employees. The primary data collection technique is done by distributing questionnaires to respondents. The questionnaire uses a Likert scale as a measure of data. Data analysis was carried out through structural equation modelling with SmartPLS 3.0 software. The dependent variable is the employee performance variable, and the independent variable is the HRIS and job satisfaction variables. The results of data analysis in this study and the significance value obtained prove that HRIS is significantly related to employee performance. The more accurate, precise and complete the HRIS application, the higher the employee's performance in completing their work assignments and improving the process of the defence industry in making human resource decisions through systematic HRIS procedures, which include data collection, data storage, data maintenance, data retrieval, and data validation. Its strategic plan influences the progress of the defence industry in utilizing human resources quantitatively, and understanding environmental conditions can provide an overview of the future of the defence industry. Artificial Intelligence (AI) is significantly related to employee performance.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133748211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The creation and upkeep of knowledge bases have emerged as the primary issue in artificial intelligence development. The knowledge domain is expanding, and application interoperability is urgently demanded. To accommodate this modification, the knowledge base, which serves as the foundation of the artificial intelligence architecture, must be updated. XML (extensible markup language), RDF (resources description framework), DAML (DARPA agent markup language), OIL (ontology inference layer), and OKBC are just a few of the standards that have been introduced as a result of the development of the internet (Open Knowledge-Base Connectivity). One type of knowledge representation that can store information and facts about a subject is frame-based representation. The OKBC, which can help with knowledge base interoperability, supports this approach. In this work, the main issues covered are the comprehension and fundamentals of knowledge base creation with frame representation. To better understand how frame representation functions as a reusable component, a case study from a news publication were used as an example.
{"title":"Knowledge Base Reuse With Frame Representation In Artificial Intelligence Applications","authors":"Avraam Ledentsov","doi":"10.34306/itsdi.v4i2.583","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.583","url":null,"abstract":"The creation and upkeep of knowledge bases have emerged as the primary issue in artificial intelligence development. The knowledge domain is expanding, and application interoperability is urgently demanded. To accommodate this modification, the knowledge base, which serves as the foundation of the artificial intelligence architecture, must be updated. XML (extensible markup language), RDF (resources description framework), DAML (DARPA agent markup language), OIL (ontology inference layer), and OKBC are just a few of the standards that have been introduced as a result of the development of the internet (Open Knowledge-Base Connectivity). One type of knowledge representation that can store information and facts about a subject is frame-based representation. The OKBC, which can help with knowledge base interoperability, supports this approach. In this work, the main issues covered are the comprehension and fundamentals of knowledge base creation with frame representation. To better understand how frame representation functions as a reusable component, a case study from a news publication were used as an example.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132019378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The development of information technology's development can create a global world and create space for a new life in society, namely the life of a virtual community. However, it cannot be denied that not all internet activities are always positive. However, the internet also has a negative side, so it is necessary to find more effective and preventive ways of dealing with the negative impacts of information technology. The aims of this research are: 1) To find out the negative impact of mobile internet usage in Indonesia. 2) To find out how the law prevents the negative impact of information technology in Indonesia. 3) To find out the sanctions that will be given and the regulations that can be used to ensnare perpetrators of mobile internet irregularities in Indonesia. This study uses a normative juridical approach, and the method used is qualitative. The data sources taken in this study consist of primary, secondary and tertiary. Data analysis was carried out by analyzing and describing the data collected to make a research conclusion and using a field approach, namely by examining internet crime cases so that this research can be obtained a conclusion as an answer to the problems discussed in this study.
{"title":"Mobile Internet Analysis in Prevention of Negative Impacts of Information and Communication Technology in Indonesia","authors":"Muhamad Rio Nauvaldi","doi":"10.34306/itsdi.v4i2.585","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.585","url":null,"abstract":"The development of information technology's development can create a global world and create space for a new life in society, namely the life of a virtual community. However, it cannot be denied that not all internet activities are always positive. However, the internet also has a negative side, so it is necessary to find more effective and preventive ways of dealing with the negative impacts of information technology. The aims of this research are: 1) To find out the negative impact of mobile internet usage in Indonesia. 2) To find out how the law prevents the negative impact of information technology in Indonesia. 3) To find out the sanctions that will be given and the regulations that can be used to ensnare perpetrators of mobile internet irregularities in Indonesia. This study uses a normative juridical approach, and the method used is qualitative. The data sources taken in this study consist of primary, secondary and tertiary. Data analysis was carried out by analyzing and describing the data collected to make a research conclusion and using a field approach, namely by examining internet crime cases so that this research can be obtained a conclusion as an answer to the problems discussed in this study.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122258112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to analyze consumer purchasing patterns for motorcycle parts using data mining methods and FP-Growth algorithms on motorcycle parts sales transaction data. This research aims to obtain helpful information for companies in planning marketing strategies and increasing sales. The data used in this study are motorcycle parts sales transaction data from motorcycle parts stores for one year. The data is then processed using the FP-Growth algorithm to find significant purchasing patterns. The results of this study show that the FP-Growth algorithm can be used to identify substantial consumer purchasing patterns. Some purchase patterns found include a combination of often purchased products, the most active purchase time, and the most purchased product category. Using data mining and the FP-Growth algorithm can assist companies in understanding significant consumer purchasing patterns to improve the effectiveness of marketing strategies and increase sales of motorcycle parts. The novelty of this research lies in using data mining methods and FP-Growth algorithms on motorcycle parts sales transaction data to analyze consumer purchasing patterns. This research also provides valuable information for companies in planning marketing strategies and increasing sales by identifying significant consumer purchasing patterns, such as product combinations often purchased together and the most purchased product categories.
{"title":"Use of Data Mining for The Analysis of Consumer Purchase Patterns with The Fpgrowth Algorithm on Motor Spare Part Sales Transactions Data","authors":"Tri Ahmad Djabalul Lael, Deskha Akmal Pramudito","doi":"10.34306/itsdi.v4i2.582","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.582","url":null,"abstract":"This study aims to analyze consumer purchasing patterns for motorcycle parts using data mining methods and FP-Growth algorithms on motorcycle parts sales transaction data. This research aims to obtain helpful information for companies in planning marketing strategies and increasing sales. The data used in this study are motorcycle parts sales transaction data from motorcycle parts stores for one year. The data is then processed using the FP-Growth algorithm to find significant purchasing patterns. The results of this study show that the FP-Growth algorithm can be used to identify substantial consumer purchasing patterns. Some purchase patterns found include a combination of often purchased products, the most active purchase time, and the most purchased product category. Using data mining and the FP-Growth algorithm can assist companies in understanding significant consumer purchasing patterns to improve the effectiveness of marketing strategies and increase sales of motorcycle parts. The novelty of this research lies in using data mining methods and FP-Growth algorithms on motorcycle parts sales transaction data to analyze consumer purchasing patterns. This research also provides valuable information for companies in planning marketing strategies and increasing sales by identifying significant consumer purchasing patterns, such as product combinations often purchased together and the most purchased product categories.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132656916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In terms of security research, cyber security is fundamentally a recent problem. When all facets of political, military, economic, social, and cultural life are connected to cyberspace, this problem occurs. Cyberterrorism, cybercrime, and cyberwar are all potential concerns in cyberspace. This threat cannot be separated from Southeast Asia, one of the main regions in the globe with a strong rate of economic expansion. This study aims to analyze the best approach for preserving cyber security in Southeast Asia. Neoliberalism and neorealism are common to mainstream methodologies scholars utilize to address the study subject. Simply put, ASEAN nations must advance their technology capacities while not underestimating the value of international cooperation.
{"title":"Southeast Asia's Cyber Security Strategy: Multilateralism or Self-help","authors":"A. G. Prawiyogi, Alwiyah","doi":"10.34306/itsdi.v4i2.581","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.581","url":null,"abstract":"In terms of security research, cyber security is fundamentally a recent problem. When all facets of political, military, economic, social, and cultural life are connected to cyberspace, this problem occurs. Cyberterrorism, cybercrime, and cyberwar are all potential concerns in cyberspace. This threat cannot be separated from Southeast Asia, one of the main regions in the globe with a strong rate of economic expansion. This study aims to analyze the best approach for preserving cyber security in Southeast Asia. Neoliberalism and neorealism are common to mainstream methodologies scholars utilize to address the study subject. Simply put, ASEAN nations must advance their technology capacities while not underestimating the value of international cooperation.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126823425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital technology must be used in all facets of life and business for global advancements to lead to the employment of technology in all disciplines, including the economic sector. One of the nations that quickly digitized their economy was Indonesia. The issue is whether Indonesia can foresee the effects and dangers that the digital economy will pose. This study's objective is to examine the growth of Indonesia's digital economy and the challenges it poses from the standpoint of national defence. The descriptive qualitative methodology is used in this study. Interviews with representatives from the Ministry of Communication and Information, the Ministry of Defense, and the Indonesian Coordinating Ministry for Economic Affairs provided the data, which was then supplemented with secondary information from these agencies. The study's findings show that Indonesia's digital economy is growing quite well, which boosts the country's GDP. They also show that productivity is rising, production, consumption, and distribution are moving more quickly, there is economic growth in various sectors, and the country can continue to operate despite the Covid-19 pandemic. The digital economy, however, also poses a threat to national security because digitization forces all data to be connected to servers that are vulnerable to data misuse and exploitation; transactions that are not secure from malware-based cyberattacks; fraudulent transactions or hacks by hackers; and infrastructure limitations that have not yet reached all parts of Indonesia
{"title":"Indonesia's Digital Economy's Development","authors":"Amit Dudhat, V. Agarwal","doi":"10.34306/itsdi.v4i2.580","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.580","url":null,"abstract":"Digital technology must be used in all facets of life and business for global advancements to lead to the employment of technology in all disciplines, including the economic sector. One of the nations that quickly digitized their economy was Indonesia. The issue is whether Indonesia can foresee the effects and dangers that the digital economy will pose. This study's objective is to examine the growth of Indonesia's digital economy and the challenges it poses from the standpoint of national defence. The descriptive qualitative methodology is used in this study. Interviews with representatives from the Ministry of Communication and Information, the Ministry of Defense, and the Indonesian Coordinating Ministry for Economic Affairs provided the data, which was then supplemented with secondary information from these agencies. The study's findings show that Indonesia's digital economy is growing quite well, which boosts the country's GDP. They also show that productivity is rising, production, consumption, and distribution are moving more quickly, there is economic growth in various sectors, and the country can continue to operate despite the Covid-19 pandemic. The digital economy, however, also poses a threat to national security because digitization forces all data to be connected to servers that are vulnerable to data misuse and exploitation; transactions that are not secure from malware-based cyberattacks; fraudulent transactions or hacks by hackers; and infrastructure limitations that have not yet reached all parts of Indonesia","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130577886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Faizal Fazri, Lintang Bayu Kusuma, Risa Burhani Rahmawan, Hardiana Nur Fauji, Castarica Camille
Industrial growth has a positive impact because it brings prosperity to humans. But on the other hand, it also has a negative effect, mainly due to industrial pollution produced. The pollution impacts environmental damage, one of which is the marine environment. This damage can be reduced by increasing understanding of the marine environment by monitoring it using technology. Although efforts have been made to monitor the marine environment, there are difficulties interpreting the large amount of data collected. To overcome these obstacles, we need technology that can process big data. One of the technologies that can be used is Artificial Intelligence which will be discussed in this study. This study aims to provide further understanding regarding the application of Artificial Intelligence to monitor the marine environment. This study uses a literature review method from several studies related to Artificial Intelligence. The final result of this study explains the potential and impact of applying Artificial Intelligence in reducing pollution of the marine environment sustainably. Although there have been many efforts to monitor the ocean for pollutants remotely, classifying the data is challenging because of the high volume of data. Therefore, the novelty of this research is to discuss a use case of a new approach to monitoring the ocean with the help of Artificial Intelligence. This research is expected to be motivated to develop better solutions in overcoming marine environment pollution using Artificial Intelligence technology.
{"title":"Implementing Artificial Intelligence to Reduce Marine Ecosystem Pollution","authors":"Muhammad Faizal Fazri, Lintang Bayu Kusuma, Risa Burhani Rahmawan, Hardiana Nur Fauji, Castarica Camille","doi":"10.34306/itsdi.v4i2.579","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.579","url":null,"abstract":"Industrial growth has a positive impact because it brings prosperity to humans. But on the other hand, it also has a negative effect, mainly due to industrial pollution produced. The pollution impacts environmental damage, one of which is the marine environment. This damage can be reduced by increasing understanding of the marine environment by monitoring it using technology. Although efforts have been made to monitor the marine environment, there are difficulties interpreting the large amount of data collected. To overcome these obstacles, we need technology that can process big data. One of the technologies that can be used is Artificial Intelligence which will be discussed in this study. This study aims to provide further understanding regarding the application of Artificial Intelligence to monitor the marine environment. This study uses a literature review method from several studies related to Artificial Intelligence. The final result of this study explains the potential and impact of applying Artificial Intelligence in reducing pollution of the marine environment sustainably. Although there have been many efforts to monitor the ocean for pollutants remotely, classifying the data is challenging because of the high volume of data. Therefore, the novelty of this research is to discuss a use case of a new approach to monitoring the ocean with the help of Artificial Intelligence. This research is expected to be motivated to develop better solutions in overcoming marine environment pollution using Artificial Intelligence technology.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133261567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research paper discusses the impact of Artificial Intelligence (AI) on organizational and process-level performance. The study follows a four-step process: analyzing AI technologies, exploring case studies, collecting data, and reviewing AI literature. The findings indicate that AI has various technologies, such as machine translation, chatbots, and self-learning algorithms, that can enhance automation, information, and transformation effects. Organizations can use AI to improve processes, optimize operations, and develop strategic and competitive advantages. The study provides insights into how organizations can enhance the business value of their transformation projects by leveraging AI's attributes. The research framework proposes a more comprehensive approach to account for the intangible benefits of AI in organizations. The study highlights that AI combines several configurations of IT in various industries, and organizations should reconfigure their processes to achieve performance through AI capabilities. The research also provides tangible evidence about the business value of AI-based projects and their impact on firm performance, considering it not as a single technology but as a set/combination of several different configurations of IT in various industries. The study has scientific and managerial interests and proposes a model for analyzing the impact of AI on firm performance, providing managers with insights to improve their organizations' performance, profitability, and competitive advantage.
{"title":"The Effects of Artificial Intelligence (AI) on Company Performance Including the Value of AI-based Business Transformation Initiatives","authors":"Brian Domini, Andha Sari Dewi, Galih Putra Cesna","doi":"10.34306/itsdi.v5i1.606","DOIUrl":"https://doi.org/10.34306/itsdi.v5i1.606","url":null,"abstract":"The research paper discusses the impact of Artificial Intelligence (AI) on organizational and process-level performance. The study follows a four-step process: analyzing AI technologies, exploring case studies, collecting data, and reviewing AI literature. The findings indicate that AI has various technologies, such as machine translation, chatbots, and self-learning algorithms, that can enhance automation, information, and transformation effects. Organizations can use AI to improve processes, optimize operations, and develop strategic and competitive advantages. The study provides insights into how organizations can enhance the business value of their transformation projects by leveraging AI's attributes. The research framework proposes a more comprehensive approach to account for the intangible benefits of AI in organizations. The study highlights that AI combines several configurations of IT in various industries, and organizations should reconfigure their processes to achieve performance through AI capabilities. The research also provides tangible evidence about the business value of AI-based projects and their impact on firm performance, considering it not as a single technology but as a set/combination of several different configurations of IT in various industries. The study has scientific and managerial interests and proposes a model for analyzing the impact of AI on firm performance, providing managers with insights to improve their organizations' performance, profitability, and competitive advantage.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136377787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Putri, Sarifudlin Hidayat, Suprapto, E. Wahyono, Sriyono, Lili Rahmawati
This research aims to analyze the effect of online business on economic growth in Java Island, segment and optimize aspects that support the development of internet business in the locus of Java Island, especially East Java Province, and complement it with a The existence of social.The method used is a combination of 5 techniques, namely regression analysis, thematic map visualization, clustering, spatial analysis, and text mining. This research has major implications for the development of MSMEs because MSMEs have succeeded in implementing e-commers in their sales and this greatly affects economic growth. Through the support of other analyses, it will also be known that the factors that support economic growth are more complete. The results show that online business affects the economic growth of provinces in Java. Online business businesses need to continue to be optimized by improving the quality of HDI and web networks, especially in the development priority areas of East Java Province. Programs related to the advanced economy need to be encouraged to align changes in the order of society with MSME activities in adapting to the e-digitalization period. This research has major implications for the development of MSMEs because MSMEs have succeeded in implementing e-commers in their sales and this greatly affects economic growth. Through the support of other analyses, it will also be known that the factors that support economic growth are more complete. This condition is more specific to developing countries and Covid-19 Pandemi.
{"title":"Big Data and Strengthening MSMEs After the Covid-19 Pandemic (Development Studies on Batik MSMEs in East Java)","authors":"R. Putri, Sarifudlin Hidayat, Suprapto, E. Wahyono, Sriyono, Lili Rahmawati","doi":"10.34306/itsdi.v4i2.574","DOIUrl":"https://doi.org/10.34306/itsdi.v4i2.574","url":null,"abstract":"This research aims to analyze the effect of online business on economic growth in Java Island, segment and optimize aspects that support the development of internet business in the locus of Java Island, especially East Java Province, and complement it with a The existence of social.The method used is a combination of 5 techniques, namely regression analysis, thematic map visualization, clustering, spatial analysis, and text mining. This research has major implications for the development of MSMEs because MSMEs have succeeded in implementing e-commers in their sales and this greatly affects economic growth. Through the support of other analyses, it will also be known that the factors that support economic growth are more complete. The results show that online business affects the economic growth of provinces in Java. Online business businesses need to continue to be optimized by improving the quality of HDI and web networks, especially in the development priority areas of East Java Province. Programs related to the advanced economy need to be encouraged to align changes in the order of society with MSME activities in adapting to the e-digitalization period. This research has major implications for the development of MSMEs because MSMEs have succeeded in implementing e-commers in their sales and this greatly affects economic growth. Through the support of other analyses, it will also be known that the factors that support economic growth are more complete. This condition is more specific to developing countries and Covid-19 Pandemi.","PeriodicalId":151610,"journal":{"name":"IAIC Transactions on Sustainable Digital Innovation (ITSDI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132067731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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